Michael Gillette

Michael Gillette

Brand Protection Analyst @ Corsearch

About Michael Gillette

Michael Gillette is a Brand Protection Analyst at Corsearch, where he has worked since 2021. He holds a Bachelor of Science in Business & Economics from the University of Idaho, with a major in Management of Information Systems and a minor in Computer Science.

Work at Corsearch

Michael Gillette has been employed at Corsearch as a Brand Protection Analyst since 2021. In this role, he focuses on protecting brands through data analysis and monitoring. His work involves identifying potential threats to brand integrity and developing strategies to mitigate these risks. Gillette's position at Corsearch allows him to apply his analytical skills in a practical setting, contributing to the company's mission of safeguarding intellectual property.

Education and Expertise

Michael Gillette earned a Bachelor of Science in Business & Economics from the University of Idaho, where he studied from 2013 to 2017. He majored in Management of Information Systems and minored in Computer Science. This educational background provides him with a solid foundation in data analysis and information technology, which he applies in his current role as a Brand Protection Analyst.

Background

Michael Gillette has a strong interest in data analysis, particularly in artificial intelligence and data mining. His academic focus on Management of Information Systems and Computer Science reflects his commitment to understanding complex data systems. Additionally, he enjoys working with data related to Environmental Science, indicating a diverse range of interests within the field of data analysis.

Personal Development and Growth

Michael actively seeks opportunities for personal growth and skill development. He believes in the importance of staying updated with the latest developments in data analysis and related fields. This commitment to continuous learning enables him to enhance his expertise and adapt to the evolving landscape of brand protection and data analysis.

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